Microgrid Optimal Dispatch Based on Distributed Economic Model Predictive Control Algorithm

Yuxiang Peng, Wenqian Jiang, Xingqiu Wei, Juntao Pan, Xiangyu Kong and Zhou Yang ()
Additional contact information
Yuxiang Peng: Guangxi Power Grid Co., Ltd., Nanning 530023, China
Wenqian Jiang: Guangxi Power Grid Co., Ltd., Nanning 530023, China
Xingqiu Wei: Guangxi Power Grid Co., Ltd., Nanning 530023, China
Juntao Pan: Guangxi Power Grid Co., Ltd., Nanning 530023, China
Xiangyu Kong: Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
Zhou Yang: Guangxi Power Grid Co., Ltd., Nanning 530023, China

Energies, 2023, vol. 16, issue 12, 1-17

Abstract: A microgrid cluster is composed of multiple interconnected microgrids and operates in the form of cluster, which can realize energy complementation between microgrids and significantly improve their renewable energy consumption capacity and system operation reliability. A microgrid optimal dispatch based on a distributed economic model predictive control algorithm is proposed in this paper. Firstly, the control task of the microgrid power generation system is defined, which is required to meet the load demand while reducing the economic loss of the system and realize dynamic economic optimization. The global objective function is designed based on the control task, and the detailed design method of the distributed economic model predictive controller is given. The control law is obtained by an iterative calculation using the Nash optimal method, which can effectively reduce the amount of data in the communication network. Finally, a microgrid group composed of four microgrids is used as an example for simulation verification. The simulation results show that the distributed economic model predictive control algorithm proposed in this paper has good economic benefits for microgrid dispatching.

Keywords: distributed model predictive control; microgrid dispatching optimization; Nash optimization; dynamic economic optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/12/4658/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/12/4658/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:12:p:4658-:d:1169115

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().